Precipitation regimes impacts dryland multifunctionality: A cascade of historical precipitation regimes via species replacement in multitrophic microbiota

Aim: The pervasive impacts of climate change on the biodiversity and functionality in arid ecosystems are increasingly evident in the Anthropocene. Although soil microbes are anticipated to be sensitive to changes in precipitation regimes, the mechanisms through which multifaceted precipitation variances impair the current delivery of multiple functions by multitrophic microbiota remain largely unexplored. Here, we examined the direct effects of historical precipitation regimes on the multifunctionality and their indirect impacts mediated by soil microorganisms in drylands.
Location: Northwestern China.
Time period: Precipitation records (1979-2016); Field investigation in 2020.
Major taxa studied: Multitrophic microbiota in biocrusts.
Methods: We evaluated a 38-year daily precipitation across the arid regions to quantify its multifaceted characteristics, including mean amount, frequency, and variability. The community structures of heterotrophic bacteria, eukaryotic fungi, and photoaut..., , , # Precipitation regimes impacts dryland multifunctionality: A cascade of historical precipitation regimes via species replacement in multitrophic microbiota

The historical daily precipitation records, abiotic variables and functional variables of each site are provied, and they can be found in the file named 'row_data.xlsx'.
The main code used is stored in a compressed file named \"data_package.zip\".

# File/Folder Details

## Summary of row\_data.xlsx

*Description: a detail file containing the historical daily precipitation records, abiotic variables and functional variables of each site in our study.
*Sheet count: 4
*Sheet name: \"Introduction\", \"Pre.Daily\", \"Abio.Var\", \"Func.Var\"

## Details for: Introduction

A summary for the file, containing the abbreviation of variables.

\**Abbreviation of abiotic variables：
*Longitude: longitude of sampling site (°)
*Latitude: latitude of sampling site (°)
*Elevation: elevation of sampling site (m)
*pH: soil pH
*Salinity: soil salinity (μmol·g-...